PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.
Python Implementation for Signed Random Walk with Restart (SRWR)
Social trust Network Embedding (ICDM 2019)
Modeling the co-evolution of viral spreading and structural stability in signed networks
A set of utilities built on top of networkx for working with signed networks
Link Prediction with Signed Latent Factors in Signed Social Networks (KDD 2019)
Dynamics in signed social networks
Repository of the paper "Community detection in bipartite signed networks is highly dependent on parameter choice"
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